{"id":"W4386214571","doi":"10.1109/fleps57599.2023.10220223","title":"A 3D Printed Wearable Electromyography Wristband","year":2023,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electromyography; Wearable computer; Printed circuit board; SIGNAL (programming language); Computer science; Prosthetic hand; 3d printed; Physical medicine and rehabilitation; Biomedical engineering; Engineering; Artificial intelligence; Embedded system; Electrical engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002471315,0.0006404244,0.0003779096,0.0006407013,0.0001282708,0.0004575381,0.000726166,0.001064959,0.004509802],"category_scores_gemma":[0.0004398482,0.0002533189,0.0006897213,0.0003353707,0.0001699135,0.0003558945,0.0003941868,0.0003223633,0.002113505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019196,"about_ca_system_score_gemma":0.000169492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000200857,"about_ca_topic_score_gemma":0.0002411551,"domain_scores_codex":[0.9996547,0.0000499362,0.00002735052,0.00007786966,0.0001624349,0.0000277073],"domain_scores_gemma":[0.9997463,0.00005901602,0.00005772511,0.00005262828,0.00005724302,0.00002723015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00030194,0.0002043377,0.001281162,0.0005642563,0.00008653869,0.001749503,0.0001303627,0.003968905,0.7504594,0.001391683,0.005236356,0.2346256],"study_design_scores_gemma":[0.0003126408,0.005120021,0.02536552,0.000367896,0.0004218794,0.02325964,0.0001648627,0.05106159,0.7195981,0.001192354,0.1728201,0.0003153409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714649,0.003271314,0.7898065,0.0009012829,0.001500472,0.0003561955,0.001045098,0.006540497,0.02511375],"genre_scores_gemma":[0.5869223,0.002197177,0.3602592,0.001126147,0.000217829,0.0004476116,0.0007680763,0.0002357873,0.0478258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004509802,"threshold_uncertainty_score":0.01508683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00949307809055668,"score_gpt":0.2105917931467614,"score_spread":0.2010987150562047,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}